Adaptive Mesh Compression Algorithm for Near Real-Time Rendering of Large-Scale Static Scenes

In the realm of computer graphics, rendering large-scale static scenes in real-time poses a considerable challenge for existing mesh compression techniques. This study explores the struggle to balance visual quality and adaptability. Algorithms such as view frustum culling, visibility culling, and occlusion culling play a pivotal role in rendering high-resolution, user-placed objects. However, their efficiency comes at the cost of potential slowdowns due to additional object selection operations. This study introduces a novel mesh compression algorithm specifically designed for real-time rendering. By reducing data requirements while preserving visual fidelity and optimizing resource allocation, the algorithm revolutionizes the efficiency and immersion of rendering complex scenes.